A pandas cookbook

A few people have told me recently that they find the slides for my
talks really helpful for getting started with
pandas, a Python library for manipulating
data. But then they get out of date, and it’s tough to support slides
for a talk that I gave a year ago.

So I was procrastinating packing to leave New York yesterday, and I
started writing up some examples, with explanations! A lot of them are
taken from talks I’ve given, but I also want to give some new
examples, like

how to deal with timestamps

what is a pivot table and why would you ever want one?

how to deal with “big” data

I’ve put it in a GitHub repository called
pandas-cookbook. It’s along
the same lines as the pandas talks I’ve given – take a real dataset
or three, play around with it, and learn how to use pandas along the
way.

Here’s the current table of contents, as of right now. These links
will probably break as I update it.